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- W2396268833 abstract "In this paper we show that a Geometric Algebra-based least-mean-squares adaptive filter (GA-LMS) can be used to recover the 6-degree-of-freedom alignment of two point clouds related by a set of point correspondences. We present a series of techniques that endow the GA-LMS with outlier (false correspondence) resilience to outperform standard least squares (LS) methods that are based on Singular Value Decomposition (SVD). We furthermore show how to derive and compute the step size of the GA-LMS." @default.
- W2396268833 created "2016-06-24" @default.
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- W2396268833 date "2016-03-01" @default.
- W2396268833 modified "2023-09-23" @default.
- W2396268833 title "6DOF point cloud alignment using geometric algebra-based adaptive filtering" @default.
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- W2396268833 doi "https://doi.org/10.1109/wacv.2016.7477642" @default.
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